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AI agents learn from Linus Torvalds' emails via Skill.md

A user explored distilling personal knowledge into a "Skill.md" file for AI agents, using a dataset of approximately 32,000 emails from Linus Torvalds for code reviews with Regolo.AI models. The experiment aimed to see if this method could effectively transfer knowledge for AI agent use. AI

IMPACT Demonstrates a method for personalizing AI agents with specific knowledge bases.

RANK_REASON User experiment with existing AI models and data for a specific application.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI agents learn from Linus Torvalds' emails via Skill.md

How we ranked this

Signal score
10 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User experiment with existing AI models and data for a specific application.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Can you distill personal # knowledge in a Skill.md for your # AI agents? I tried using 32k~ emails from Linus Torvalds for code rieviews with Regolo.AI models a

    Can you distill personal # knowledge in a Skill.md for your # AI agents? I tried using 32k~ emails from Linus Torvalds for code rieviews with Regolo.AI models and cross compare them. Check the report folder to see what is the best LLM to catch bugs! https:// github.com/Mte90/linu…